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A Two Level Model for Context Sensitive Inference Rules.

, , , , и . ACL (1), стр. 1331-1340. The Association for Computer Linguistics, (2013)

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Neural network gradient-based learning of black-box function interfaces., , , , , , и . ICLR (Poster), OpenReview.net, (2019)CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge., , , и . NAACL-HLT (1), стр. 4149-4158. Association for Computational Linguistics, (2019)Making Retrieval-Augmented Language Models Robust to Irrelevant Context., , , и . CoRR, (2023)Transformer Feed-Forward Layers Are Key-Value Memories., , , и . CoRR, (2020)DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion., , , и . NAACL-HLT (1), стр. 3443-3455. Association for Computational Linguistics, (2019)Evaluating Text GANs as Language Models., , , и . NAACL-HLT (1), стр. 2241-2247. Association for Computational Linguistics, (2019)Global learning of textual entailment graphs. Tel Aviv University, Israel, (2012)Tel Aviv University Library.Evaluating the Evaluation of Diversity in Natural Language Generation., и . EACL, стр. 326-346. Association for Computational Linguistics, (2021)Learning Verb Inference Rules from Linguistically-Motivated Evidence., , , и . EMNLP-CoNLL, стр. 194-204. ACL, (2012)Transformer Feed-Forward Layers Are Key-Value Memories., , , и . EMNLP (1), стр. 5484-5495. Association for Computational Linguistics, (2021)